User Search for future trends

Absrtact: The rapid development of search engine is the last 15 years, which is closely related to the development trend of Internet. In recent years, the Internet after the web2.0 of the market to nurture the stage, ushered in the Internet users personalized and social to become the center of the trend.

The rapid development of search engine is the last 15 years, which is closely related to the development trend of Internet. In recent years, the Internet after the web2.0 of the market to nurture the stage, ushered in the Internet users personalized and social to become the center of the trend. At the same time, the gradual flow of mobile devices and the combination of two trends, spawned a lot of new applications, in order to meet and adapt to this trend, the search engine, also created a new challenge. This article will explain the development trend of the future search engine. Is purely a personal point of view.

(Pure parody: User search for future trends)

1, Social search

With the popularity of Facebook, social networking platforms and applications dominate the Internet, and social networking platforms emphasize the connections and interactions between users, which presents new challenges to traditional search techniques.

Traditional search techniques emphasize the relevance of search results and user requirements, and social search, in addition to relevance, adds a dimension, that is, the reliability of search results. There may be thousands of traditional results for a search result, but it is closely related to the user's heart if information, comments, or validated information posted by other users within the user's social network is more easily trusted. Social search provides users with more accurate and trustworthy search results.

Foreign dogpile and other meta search engines can be developed and grow, mainly thanks to the foreign traditional search too much, and the enterprise to achieve the concept of win-win, but in China more people think how to put all the resources in their hands, Baidu, Google,yahoo is not looking at their future development in the outdated , become the tide person, now these several are unceasingly enriches own product line, and touches the social search, guarantees oneself in this profession position.

2, Real time search

With the rise of Weibo's personal media platform, the demand for real-time search engines is increasing, I think this is also a search engine in the future direction of development.

Baidu also launched a real-time search, search methods:

Enter http://www.baidu.com/s?rtt=2&tn=baiduwb&wd= keyword in browser

Real-time Search is the most prominent feature is the timeliness of strong, more and more unexpected events for the first time posted on the micro-blog, real-time search core emphasis is "fast", the user published information the first time can be searched by search engines.

However, in China, real-time search for various reasons can not be widely used, such as Google's real-time search is reset, Baidu also has no obvious real-time search entrance.

3, Mobile search

With the rapid development of smartphones, mobile devices based mobile device search is becoming more and more popular, but mobile devices have great limitations, such as the screen is too small, can be displayed less area, computational resources capacity is limited, open the Web page speed is very slow, mobile phone input cumbersome problems need to be resolved.

At present, with the rapid popularity of smartphones, mobile search will be more rapid development, so mobile search market share will gradually rise, and for no mobile version of the site, Baidu also provides a "Baidu mobile open platform" to make up for this missing.

4, personalized Search

Personalized search faces two main problems: How to build a user's personal interest model and how to use this personal interest model in search engines.

The core of personalized search is to establish an accurate personal interest model according to the user's network behavior. and the establishment of such a model, it is necessary to collect information related to users, including user search history, click Records, browsed pages, user email information, favorites information, users posted information, blogs, micro-blog and other content. It is more common to extract the keywords and their weights from the information.

For different users to provide personalized search results, is the overall trend of the search engine, but the existing technology has many problems, such as the disclosure of personal privacy, and the user's interest will be constantly changing, too dependent on historical information, may not reflect the user's interest changes.

5, geographically aware search

At present, many mobile phones already have GPS applications, this is based on geographical perception of the search, but also through the gyroscope and other devices to perceive the direction of the user, based on this information can provide users with accurate geographical services and related search services. At present, such applications have been widely used, such as mobile phone map app.

6, cross-language search

The best thing about this is that Google,google currently offers cross-language searches across multiple languages, such as the MIT home page where I first ranked MIT.

How to translate Chinese user query into English Query, there are 3 kinds of methods in the current mainstream: machine translation, bilingual dictionary query and bilingual corpus mining method. For a global search engine, with Cross-language search function is the inevitable trend of development, and its basic technical route will generally use Query translation plus Web page machine translation of the two technical means.

7, Multimedia Search

Current search engine query is text-based, even the image and video search is based on text. Then the future of multimedia search technology will make up for the missing query. In addition to the text, multimedia format, mainly including pictures, audio, video.

Multimedia search is much more complicated than pure text search, and general multimedia search contains 4 main steps: Multimedia feature extraction, multimedia data stream segmentation, multimedia data classification and multimedia data search engine.

For example, picture Search, the general step is: First step, reduce the size. The second step is to simplify the color. The third step is to calculate the average. The fourth step is to compare the pixel grayscale. The fifth step is to compute the hash value. (For details, see the Google Image search principle of the article).

8, Situational Search

Situational search is a combination of a number of technology products, the above described in the social search, personalized search, location-aware search is to support contextual search, the current Google is vigorously promote this concept.

The so-called situation search, is to be able to perceive the environment in which people and people, in order to "this person here" to establish a model, trying to understand the purpose of user inquiries, the fundamental goal or to understand the human information needs. For example, a user in the vicinity of the Apple Store issued the "Apple" search request, based on site awareness and user personalization model, the search engine may think that the query is for Apple's products, rather than the demand for fruit.

Written at the end:

This paper introduces 8 trends in the future development of search engines, whether personalized search, real-time search, social search, geo-perceptual search, multimedia search, and Cross-language search. We can see that the search engine is constantly thinking about people's hearts, to meet the needs of netizens and development, then your site?